qolimpervious 1.5

This library executes impervious surface analysis for the Quality of Life Exporer dashboard

Impervious Surface Analysis

This package provides a Python class impervious tailored for analyzing impervious surface using ArcPy. The class is designed for Urban Institute's Quality of Life (QOL) variables.

Installation

Install qolimpervious from PyPI using pip:

pip install qolimpervious

Usage

import pandas as pd

import arcpy

import qolimpervious as qi

I = qi.impervious('Singlefamily_Impervious_2023','Commercial_Impervious_2023','Impervious2023')

I.intersect('NPA2023','IntersectImpervious2023')

I.exportcsv(path,'QOL_04_2023.csv')

Methods

impervious

This class executes impervious surface analysis for Urban Institute's QOL Variables.

__init__(self, residential, commercial, UnionOutputname)

• residential: The residential landuse featureclass.

• commercial: The commercial landuse featureclass.

• UnionOutputname: Name of output featureclass for the union analysis.

union(self)

Unions the residential and commercial feature classes used for computing the total impervious surface in the city.

dissovle(self)

Adds a field to the Union feature class, calculates the field as 0, and dissolves the Union Feature class using the added field.

intersect(self, NPAFeatureclass, IntersectOutput)

NPAFeatureclass: The NPA feature class.

IntersectOutput: The output name for the intersect analysis.

Performs the intersect analysis and calculates the area of intersected features.

exportcsv(self, OutputDirectory, Filename)

• OutputDirectory: The directory where the CSV file will be exported.

• Filename: The name of the CSV file.

• Exports the results of the impervious surface analysis as a CSV file.

License

This project is licensed under the MIT License - see the LICENSE file for details.